Hybrid-S2S: Video Object Segmentation with Recurrent Networks and Correspondence Matching

One-shot Video Object Segmentation (VOS) is the task of pixel-wise tracking an object of interest within a video sequence, where the segmentation mask of the first frame is given at inference time.

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Cite this as

Fatemeh Azimi, Stanislav Frolov, Federico Raue, J¨orn Hees, Andreas Dengel (2024). Dataset: Hybrid-S2S: Video Object Segmentation with Recurrent Networks and Correspondence Matching. https://doi.org/10.57702/u9fuiwda

DOI retrieved: December 2, 2024

Additional Info

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Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2010.05069
Author Fatemeh Azimi
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Stanislav Frolov
Federico Raue
J¨orn Hees
Andreas Dengel
Homepage https://github.com/fatemehazimi990/HS2S